The popularity of Python is obvious to all. The reason is that Python is easy to get started and find employment, and there are many employment directions to choose from. It can be said that it is the best choice for newcomers to get started.
However, a large number of friends choose to study by themselves and take many detours. After studying for a period of time, they don’t know how to study next. The learning route is indispensable.
What the editor brings this time is a complete set of learning roadmap and supporting learning materials obtained from friends. It covers all aspects of Python learning, and the literature is in full color and clear handwriting, which is very suitable for us to learn and watch.
mind Mapping
Supporting video
Friends who want a collection of information can click on the WeChat card below to get it for free.
In my opinion, it is more practical to clarify your own learning goals and learning paths than to collect a few G learning resources everywhere at the beginning like "big efforts can produce miracles".
Let’s take a look at what each major branch talks about:
1. The basics of Python
are really important, because the ease of application of Python can easily make people feel that I know everything, but in fact I still don’t know much about it. .
Related video learning materials:
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2. The crawler stage.
There should be many people interested in crawlers, right?
Crawlers are not only used by crawler engineers. You can also use them in your spare time to crawl what you want, or you can also do part-time work, such as daily office automation, e-commerce grabbing product information, analyzing sales data and making reports, etc. wait.
Most crawlers follow the process of "sending a request - obtaining the page - parsing the page - extracting and storing content". This actually simulates the process of using a browser to obtain web page information.
So the brief learning path of the crawler is probably:
- Learn Python packages and implement basic crawler processes
- Understand the storage of unstructured data
- Learn scrapy and build an engineered crawler
- Learn database knowledge and cope with large-scale data storage and extraction
- Master various techniques to deal with anti-crawling measures for special websites
- Distributed crawlers realize large-scale concurrent collection and improve efficiency
Related video learning materials:
3. Python data analysis
Data analysis is also a popular direction at the moment. Using Python to do it is much better than other languages.
But often only data analysis is not interesting. It would be better if you can have crawler capabilities to crawl data. (Analyze the data captured by the crawler, analyze the rules, and use it for commercialization)
Relevant study materials:
4. Python Machine Learning
Isn’t there all kinds of artificial intelligence nowadays? Machine learning is a branch of artificial intelligence. Its applications are too wide, such as natural language processing, search engines, various recognition technologies, data mining, etc.
I don’t need to say more about the difficulty. Don’t touch it if you don’t know how to understand algorithms. Once you touch it, there are various Gaussian process regression, linear discriminant analysis, decision trees, linear regression...
Relevant study materials:
5. Database and ETL data warehouse
Relevant study materials:
6. Conclusion
Many people find it difficult to learn programming, mostly due to incorrect mastering methods rather than ability, gender or other reasons. The learning method is wrong and the thinking and ability of programming are not developed. This is a cause and effect relationship.
The process of learning programming, some summary of experience can be summarized as follows:
1) Read books, read blogs, take courses or watch videos, etc.
2) Imitate the code in books or blogs and reproduce it. Reproduction is not important, thinking is the key⚠️
3) After thinking about and learning other people’s ideas, break away from books and blogs and implement functions completely by yourself
4) Implement some DEMOs by yourself, look at other people’s project codes, discuss with others, and improve coding capabilities
5) Write code to implement business under the framework and requirements of others
6) Responsible for the implementation of modules designed by others
7) Independently design business modules and develop and implement them
8) Responsible for the design and split of large project frameworks, leading others to develop
9) Other high-level architecture and management work is no longer just code Now that you have the ability
, that’s all for today’s sharing!
You can learn from the above reference experiences and apply them to yourself. Everyone's situation is different, and the top learning plan is also different. You should adjust it in real time according to your own situation.
I have packaged the above tutorials for everyone. I hope they will be helpful to you who are learning!
method of obtaining:
